Dipayan Ghosh

Designed and implemented a machine learning-based recommendation system processing large-scale customer data
to personalize marketing strategies and improve engagement rates
Developed predictive models using Python and machine learning algorithms to forecast customer behavior and
optimize business outcomes
Architected secure PostgreSQL database infrastructure with advanced data security protocols, establishing robust
data governance frameworks
Performed comprehensive customer personality profiling and preference analysis, identifying correlations between
behavioral patterns and product preferences to drive targeted marketing
Collaborated on graph database visualization using Apache AGE for complex relationship mapping and network
analysis
Delivered actionable insights through data analysis and visualization, enabling data-driven decision-making across
marketing teams